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All Journal Biosfer: Jurnal Tadris Biologi Jurnal Pekommas Jurnal Politik Profetik Jurnal Bioedukasi Al-Jabar : Jurnal Pendidikan Matematika JOIV : International Journal on Informatics Visualization JURNAL ILMIAH INFORMATIKA JTAM (Jurnal Teori dan Aplikasi Matematika) Biosel: Biologi Science and Education PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Teknologi Terpadu Jurnal Ilmiah Akuntansi dan Finansial Indonesia Jurnal Performa : Jurnal Manajemen dan Start-up Bisnis Journal of System and Computer Engineering Indonesian Journal of Intellectual Publication (IJI Publication) Journal of Community Engagement Research for Sustainability East Asian Journal of Multidisciplinary Research (EAJMR) JURTEII: Jurnal Teknologi Informasi Jurnal Pengabdian Pelitabangsa Indonesian Journal of Advanced Social Works (DARMA) Economics, Business, Accounting & Society Review Journal of Applied Accounting Journal Pharmacy and Application of Computer Sciences PEDAGOGIC: Indonesian Journal of Science Education and Technology Advances in Computer System Innovation Journal (ACSI Journal) Ihsanniat: Jurnal Pengabdian Kepada Masyarakat Journal of Architecture, Landscape & Urban Design Indonesian Journal of Intellectual Publication (IJI Publication)
Rijal, Muhammad
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Journal : JOIV : International Journal on Informatics Visualization

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Improved Human Activity Recognition Using Stacked Sparse Autoencoder (SSAE) Algorithm Aziz, Firman; Mustamin, Nurul Fathanah; Rijal, Muhammad; Tanniewa, Adam M
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3079

Abstract

This study aims to enhance the performance of Human Activity Recognition (HAR) systems by implementing the Stacked Sparse Autoencoder (SSAE) algorithm combined with Support Vector Machine (SVM). The objective is to enhance the classification accuracy of human activities using sensor data. The materials for this study include a dataset collected from wearable devices equipped with accelerometers and gyroscopes. These devices generate time-series data representing a range of activities, such as walking, running, sitting, and standing. The raw data were preprocessed through normalization and segmented into fixed time windows to ensure uniformity and reliability for analysis. The methods utilized involve employing SSAE for automated feature extraction. The SSAE algorithm extracts hierarchical and abstract features from sensor data, enabling the model to learn complex patterns that traditional methods might overlook. The extracted features are then input into the SVM classifier to perform activity classification. SSAE was trained using unsupervised learning techniques, followed by supervised fine-tuning with labeled datasets. The results demonstrate that the SSAE-SVM model achieves superior performance compared to traditional SVM. The SSAE-SVM achieved 89% accuracy, 87% precision, 89% sensitivity, and 88% F1 score, significantly outperforming the traditional SVM’s 37% accuracy, 75% precision, 37% sensitivity, and 36% F1 score. These findings underscore the potential of SSAE in enhancing HAR systems by effectively extracting features from sensor data. Future research should focus on the real-time implementation of SSAE, leveraging diverse sensor modalities, and exploring its applicability in broader fields, such as predictive maintenance and personalized health monitoring.
Co-Authors Abasa, Sustrin Abdillah Abdillah Abdul Rahman Adriana Hiariej, Adriana Al Husaini, Muhammad Arief Al Husaini, Muhd Arief Alfina Hidayah Amil Ahmad Ilham Amirin, Amirin Andita Nurul Kurniawati Putri Anggraini, Pitria Annisa Putri Arifuddin Arifuddin Astri nadira, Nur Astuti, Lidya Aziza Fitriah, Aziza Butsiarah Darwis Said, Darwis Dewi, Alya Puspita Dian Safitri Enny Hardi Firman Aziz Hendera, Hendera Husaini, Muhd. Arief Al Imkari, Sarty Irsyadunas, Irsyadunas Istiqamah, Nurul Jamilah Jamilah Jeffry Jeffry Kamarullah, Reza Kuswoyo, Indra Mardiah, Faijah Marlina Marlina Mashuri Mashuri Masi, Yusman Masnur Masnur Mastuti, Ajeng Gelora Maulida, Sri Mediaty Mira Dharma Susilawaty Morian Saspriatnadi Mughaffir Yunus Muhajir Abd Rahman Muhammad Yunus Muhibuddin Muhibuddin, Muhibuddin Mulyawati, Nina Yuliana Mutmainnah, Heni Mutmainnah, Heny Nadilla, Dhea Nani Nurani Muksin Natsir, Nur Alim Ningsih, Rahmi Dwi Nurmuzayyana, Nurmuzayyana Nurul Fathanah Mustamin Nurul Istiqamah Ola Rivai, Andi Tenri Oriana Paramita Dewi Pary, Cornelia Paundu, Ady Wahyudi Putri Ayu Lestari Rahmat Hidayatullah Ratna Ayu Damayanti Reja Fahlevi Ridwan, La Rifqi Novriyandana Rifyal, Rifyal Rinaldi Rinaldi Rosmawati Rosmawati Rosmiani, Ni Nengah Safrida Safrida Sahputri, Masri Yanti Sahubauwa, Laila Samputri, Salma Sehuwaky, Nurlaila Sulastri Sulastri Sunarmin, Wa Ode Suryani, R. Lisa Susanti, Marisa Syahrul Usman Syamsurijal Syamsurijal, Syamsurijal Syarif, Asrul Bin Tanniewa, Adam M Thomson Mary, Thomson Tri Yunarni, Baiq Reinalda Wahyu Hidayat Wungo, Supriyadi La Yani, Andi Muhammad Zulkarnaim, Zulkarnaim